Bandwidth Inc jobs

Director, Connectivity Communications PA - Philadelphia, 1701 John F Kennedy Blvd posted: Posted 30+ Days Ago

Network Infrastructure Design Quality Program Manager , Global Quality Team Herndon, Virginia, USA Work with construction teams to integrate quality assurance into data center network pathway infrastructure construction throughout the project lifecycle. You'll participate in construction design reviews, page turns, and reviews for construction documents, providing Quality Assurance representation to ensure standards are met during construction. You'll influence construction managers, general contractors, Colocation providers and relevant contractors to adopt quality assurance checklists that validate conformance to both Amazon and jurisdictional standards during critical construction milestone checks for pathway infrastructure. You'll bring the voice of the customer forward by gathering feedback from construction teams and internal stakeholders to refine quality processes. You'll verify that pathway infrastructure construction meets installation requirements by reviewing documentation and data from milestone inspections. You'll document and align on construction standards and standard operating procedures as new technology and construction methods integrate into our infrastructure. You'll also conduct training with construction managers, and provide guidelines to general contractors, Colocation providers and contractors to ensure consistent execution across all construction activities. This role matters because construction quality directly impacts data center reliability and customer experience. You'll own the quality process from participating in construction design reviews through training delivery, ensuring our infrastructure meets the standards our customers depend on. Key job responsibilities - Own Quality Assurance related programs to drive world-class quality in network infrastructure in the new construction of Data Centers to achieve the best operating, lowest cost infrastructure in the world. The Network Infra Quality Program

Applied Scientist, Traffic Quality Bengaluru, Karnataka, IND Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces. Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience. Key job responsibilities As an Applied Scientist II in Traffic Quality, you will solve inherently hard problems in advertising fraud detection using deep learning, self-supervised techniques, representation learning, and advanced clustering. You'll work on systems that process billions of ad impressions and

Quality Assurance Engineer, Amazon Music, App Foundry Mexico City, Mexico City, MEX The Amazon Music App Foundry team is looking for a talented QAE to help us drive quality improvements for the native core platform and playback components for the iOS, Android, and FireTablet Music apps. Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Key job responsibilities - Understanding how elements of the mobile ecosystem work together and developing QA approaches that fit the overall strategy - Develop and execute manual & automated tests and test plans - Efficiently execute test cases across all functional areas of our products - Find, isolate, document, and track bugs through resolution - Interpret and report testing results, and be a vocal proponent for quality in every phase

Fiber Capacity Delivery Lead West, Global Network Solutions Addison, TX, USA Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers. Using your extensive technical and leadership expertise, you manage various Engineering-specific programs and teams. The Fiber and Capacity Delivery team is part of Global Network Solutions (GNS). Our mission is to deliver the long-haul and metro outside-plant (OSP) fiber infrastructure assets that connect Google's data centers to users and Cloud customers worldwide, ensuring seamless and reliable data transfer across vast distances. In this role, you will lead a team for our West region, responsible for delivering the critical infrastructure that powers Google's products and services. You will play a crucial role in expanding Google's network reach and capacity, enabling seamless connectivity for users and Cloud customers worldwide. You will work with technology and collaborate with industry-leading experts, driving innovation and shaping the future of Google's network infrastructure. The AI and Infrastructure team is redefining what's possible. We empower Google

Software Dev Engineer II, Amazon Business - Services Seattle, Washington, USA Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. Great candidates for this position possess a sound understanding of computer science and a passion to make a profound impact for our international business customers. You will have the opportunity to apply this passion by leveraging your technical skills in areas such as algorithms, object-oriented design, distributed systems, web development, front-end/back-end design, and more. You will also have the opportunity to collaborate with diverse business and technical partners to shape our technology. You will be the voice of our international customers, driving technological innovation to create an unparalleled business procurement experience. The AB Services team was established in Q2'22 as a key enabler of turnkey solutions that reduce their costs, improve their operational efficiency, and free up their bandwidth to focus on their core business. Services

Senior Applied Science Manager, Traffic Quality Bengaluru, Karnataka, IND Amazon Ads is a multi-billion dollar global business that delivers advertising experiences across Amazon's owned-and-operated properties (including Prime Video, Twitch, Fire TV, and Amazon.com), third-party publisher networks, and emerging channels like generative AI-powered shopping experiences. As one of the fastest-growing segments of Amazon, we operate at unprecedented scale across desktop, mobile, connected TV, and emerging surfaces. Within Amazon Ads, Traffic Quality is a critical pillar of advertiser trust and marketplace integrity. Our mission is to build advanced capabilities that work at petabyte scale to detect sophisticated invalid traffic (IVT) which includes sophisticated non-human traffic, bot networks, and fraudulent engagement patterns across programmatic advertising. We are on a journey to establish Amazon Ads as an industry leader in traffic quality standards and transparency. Our research agenda focuses on staying ahead of adversarial actors through continuous innovation in detection methodologies, leveraging state-of-the-art techniques in deep learning and generative modeling, user behavior and multi-modal representation learning, anomaly detection, time-series analysis, and sparse labeling methods. We process billions of ad events daily, developing novel algorithms that balance precision and recall while operating under strict latency constraints. Our work directly protects hundreds of millions of dollars in advertiser spend annually while maintaining a seamless user experience. Key job responsibilities Strategic Leadership & Vision - Define long-term science vision for Traffic Quality driven by advertiser and publisher needs, translating direction into actionable team plans. - Lead teams solving strategically important business problems independently, delivering robust, scalable scientific

Data Scientist NY - New York, 1407 Broadway Floor 12 posted: Posted Today

PS - Quality - Customer Service Logistics/Warehouse/Customization/DC - Band BTA MERRILLVILLE OFFICE AND WHS posted: Posted 30+ Days Ago

Embedded Software Engineer - Networking drivers, ENA team Haifa, Haifa, ISR Join AWS's ENA (Elastic Network Adapter) drivers team and build the networking software that powers millions of cloud instances worldwide. We develop high-performance kernel and user-space drivers for multiple operating systems running on the virtual machines that deliver exceptional bandwidth, low latency, and optimal performance across AWS's global infrastructure. As an embedded Software Engineer, you'll work on drivers running across Linux, Windows, DPDK, FreeBSD and other operating systems. Your code will impact AWS customers globally through both proprietary AWS technologies and open-source contributions. You'll collaborate with multiple teams, contribute to upstream projects, and solve challenging performance problems at a massive scale. Key job responsibilities - Design and implement networking drivers for AWS Nitro controllers powering millions of servers - Optimize network performance: improve bandwidth utilization, packets-per-second (PPS), cycles-per-packet and reduce latency - Develop and maintain kernel and user-space drivers across multiple operating systems (Linux, Windows, DPDK, FreeBSD, MacOS and other operating systems) - Contribute to open-source repositories including the Linux kernel and upstream projects - Debug complex networking issues in production environments with customer-facing impact - Collaborate with multiple teams, kernel maintainers, AWS service teams and AWS customers - Monitor driver performance metrics and maintain code quality standards - Build monitoring and automation tools to enhance driver testing for functionality, reliability, and performance Basic Qualifications: - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience - 3+ years of professional software development experience with strong

Software Engineer, Site Reliability Engineering, GPay Zürich, Switzerland Site Reliability Engineering (SRE) is what you get when you treat operations as if it's a software problem. Our mission is to progress, protect, and provide for the software and systems behind all of Google's public services - Search, Ads, Gmail, Android, YouTube, and AppEngine, to name just a few - with an ever-watchful eye on their availability, latency, performance, and capacity. This is an unusual job, unlike others in the industry. Like traditional operations groups, we keep important, revenue-critical systems up and running despite hurricanes, bandwidth outages, and configuration problems . Unlike traditional operations groups, we also have full access to and authority to fix, extend, and scale the code to keep it working and harden it against all the vagaries of the Internet. We hire people from both systems and software backgrounds. Strong candidates will have experience with both. Just as what we do is unique, where we do it is unique too. At Google, we have the good fortune to have developed many interesting systems ranging from planet-spanning databases to near real-time scalable data warehousing to fault-tolerant datastream joining . In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. We own those products in production. We drive reliability and performance across massive scale by mastering the full depth of the stack. We literally do learn

Technical Program Manager, Amazon Music Technology San Francisco, California, USA We are seeking an ambitious Technical Program Manager to join our Metrics and Data Platform team at Amazon Music. The Metrics and Data Platform team plays a central role in enabling Amazon Music's business decisions and data-driven software development by processing billions of streaming events and delivering the behavioral and operational metrics that teams across Music, Prime, and Retail depend on every day. We maintain a scalable and robust data platform to support Amazon Music's business operations and growth, and collaborate closely with data producers and data consumers to accelerate innovation using data. As a Technical Program Manager, you will own and drive multiple high-impact programs across Amazon Music. You will lead the Data Quality program, setting strategy, managing cross-functional relationships, and delivering a portfolio of initiatives that improve the reliability, accuracy, and usability of Amazon Music's data at scale. You will also lead efforts to simplify our event and data models across the business and drive operational excellence improvements across the Music organization. You will build consensus across stakeholders, drive key decisions, and proactively identify and mitigate risks to keep programs on track. A successful candidate will be customer obsessed, highly analytical, adept at managing multiple complex programs simultaneously across a data-heavy organization, and energized by the opportunity to shape how an entire organization uses data. Key job responsibilities - Owning the Data Quality program end-to-end, including setting overall strategy, running quarterly business reviews, holding weekly reviews to track

HW Dev Engineer - Payload Redmond, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. A day in the life: As an Hardware Engineer, you will have the opportunity to work on some of the most innovative, challenging, and exciting payload systems in industry right now. You will engage with an experienced team to conceive and design phased arrays aimed at delighting customers with affordable, reliable, high bandwidth connectivity. You will work closely with Amazon Leo's various sub-teams and engage third party suppliers to drive product definition, design, optimization, implementation, and test. The Hardware Engineer will have a complete understanding of how their design changes impact downstream partners such as operations, supply chain, product management, and reliability. Amazon strongly believes in Ownership and you will have the opportunity to own your designs from concept through production. You will own or contribute to the following: Own PCBA development from concept through production Design and optimize different blocks of electronics sub-systems Design high-speed digital circuitry in collaboration with various teams Lead and review schematic capture and PCB layout Lead PCB vendor engagement for DFM review Optimize PCB stack-up for performance and cost Generate test plans/procedures based off high level requirement definition Complete board bring-up and perform test campaigns for different

Software Development Engineer II, EFA Network - Annapurna Labs Seattle, Washington, USA Want to help make the next generation of Machine Learning in the cloud possible? Do you have a laser focus on performance in your code? We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads. Be a part of a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today. Key job responsibilities You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world. A day in the life Start from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Get your peers and stakeholders on board with excellent written designs. Write comprehensive tests to drive the development of new features and guard against regressions. Work with our ML

Software Engineer III, Site Reliability Engineering Sunnyvale, CA, USA; +5 more Site Reliability Engineering (SRE) is what you get when you treat operations as if it's a software problem. Our mission is to progress, protect, and provide for the software and systems behind all of Google's public services - Search, Ads, Gmail, Android, YouTube, and AppEngine, to name just a few - with an ever-watchful eye on their availability, latency, performance, and capacity. This is an unusual job, unlike others in the industry. Like traditional operations groups, we keep important, revenue-critical systems up and running despite hurricanes, bandwidth outages, and configuration problems . Unlike traditional operations groups, we also have full access to and authority to fix, extend, and scale the code to keep it working and harden it against all the vagaries of the Internet. We hire people from both systems and software backgrounds. Strong candidates will have experience with both. Just as what we do is unique, where we do it is unique too. At Google, we have the good fortune to have developed many interesting systems ranging from planet-spanning databases to near real-time scalable data warehousing to fault-tolerant datastream joining . In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. We own those products in production. We drive reliability and performance across massive scale by mastering the full depth of the stack. We

Software Development Manager, Performance Measurement, Amazon Ads New York, New York, USA Join a team of industry-leading experts operating one of the largest big data analytics systems at Amazon, computing performance measurement for all advertising products at internet scale. Our data must be complete, correct, and fast - it enables advertisers and software systems to optimize campaigns and measure success. You'll work alongside experts in Big Data and Distributed Systems, designing and building the infrastructure that powers measurement across Amazon Ads. This is a high-impact role where your work directly shapes how advertisers understand and optimize their campaigns, processing billions of events daily with the speed and accuracy our customers depend on. If you're excited by the challenge of solving complex data problems at massive scale and want to see your work drive real business outcomes, we'd love to hear from you. Key job responsibilities - Define and drive the multi-year vision for a big data processing platform. - Deliver robust and scalable solutions toward your vision; invent or incorporate new technologies when needed. - Build, manage, and develop world-class engineers, including making hiring recommendations and guiding and mentoring engineers, product managers, and program managers within and outside of the team. - Ensure high-quality design reviews that meet business and architectural goals, and drive critical feedback on architecture and design issues. - Oversee resource allocation to ensure appropriate business and staff development goals are met. - Build relationships with software development managers, engineers, product managers, and technical program managers on

Principal TPM , InterDC Network Engineering Seattle, Washington, USA Want to help plan, build, and deliver one of the world's most secure, extensive, and reliable cloud platforms? AWS Infrastructure Services is seeking a passionate, talented, and proven leader to join the Global Network Delivery team and drive systematic improvements in network capacity delivery across our inter-datacenter infrastructure. As the Principal Technical Program Manager for Inter-Datacenter Network Capacity Delivery, you are responsible for owning the end-to-end program to systematically reduce defects and improve reliability across the network capacity delivery lifecycle. This role addresses the critical challenges of delivery unconstrained bandwidth to support rapid customer growth. Job responsibilities include establishing and driving the capacity delivery reliability program for new datacenter spans and scaling bandwidth between existing datacenters. You will define and track input and outcome metrics spanning project planning, dependencies accuracy, initiation, hardware delivery timeliness, position readiness, cabling reliability, and end-to-end lead time reduction. Key programs include implementing process instrumentation to identify defect sources, establishing root cause analysis frameworks, and driving cross-functional initiatives to address systemic issues. You will partner with planning automation teams to increase forecast accuracy and reduce planning bugs, work with supply chain organizations to improve supportability signal integration, and collaborate with infrastructure teams to implement systems that preserve design intent and eliminate data loss between systems. The ideal candidate demonstrates principal-level capabilities in program management, systems thinking, and organizational influence. They will have the ability to define complex, multi-quarter programs with measurable business impact, establish metrics frameworks that

Program Manager, RBS SPEG UDE Bengaluru, Karnataka, IND DESCRIPTION Amazon.com, Inc. (NASDAQ:AMZN), a Fortune 500 company based in Seattle, opened on the World Wide Web in July 1995 and today offers Earth's Biggest Selection. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. Today, we operate retail websites in nine countries, offering millions of products in more than 40 categories worldwide, and we still like to work hard, have fun and make history! SPEG UDE Program is looking for a highly skilled and analytical Program Manager, to drive Upstream Defect Elimination (UDE) initiatives across our Selling Partner Efficiency & Growth (SPEG) organization, delivering measurable business impact through strategic defect prevention at source. Key Responsibilities include. 1) Identify critical defects and optimization opportunities in Amazon's listing and selection processes. Build mechanisms to create robust pipelines that exceed targets 2) Perform defect sizing and root cause analysis to influence upstream tool owners for defect fixes through tool enhancements 3) Partner with senior leaders (L6-L7) across multiple VP organizations to secure bandwidth and prioritize defect elimination over reactive fixes. 4) Establish comprehensive governance frameworks for UDE programs, including pipeline development, quality controls, and executive reporting mechanisms. Candidate Profile: Core Competencies: Strategic Vision & Execution - Demonstrates ability to identify opportunities, build comprehensive pipelines, and exceed ambitious targets. Translates complex technical problems into executive-level strategic narratives that secure leadership buy-in across

Senior Software Engineer, Site Reliability Engineering Raleigh, NC, USA; +1 more Site Reliability Engineering (SRE) is what you get when you treat operations as if it's a software problem. Our mission is to progress, protect, and provide for the software and systems behind all of Google's public services - Search, Ads, Gmail, Android, YouTube, and AppEngine, to name just a few - with an ever-watchful eye on their availability, latency, performance, and capacity. This is an unusual job, unlike others in the industry. Like traditional operations groups, we keep important, revenue-critical systems up and running despite hurricanes, bandwidth outages, and configuration problems . Unlike traditional operations groups, we also have full access to and authority to fix, extend, and scale the code to keep it working and harden it against all the vagaries of the Internet. We hire people from both systems and software backgrounds. Strong candidates will have experience with both. Just as what we do is unique, where we do it is unique too. At Google, we have the good fortune to have developed many interesting systems ranging from planet-spanning databases to near real-time scalable data warehousing to fault-tolerant datastream joining . In SRE, we flip between the fine-grained detail of disk driver I/O scheduling to the big picture of continental-level service capacity, across a range of systems and a user population measured in billions. We own those products in production. We drive reliability and performance across massive scale by mastering the full depth of the stack. We

Sr Software Development Engineer, Neuron Collectives, Annapurna Labs Cupertino, California, USA Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: * Enhance collective algorithms and topologies for optimal training performance * Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization * Monitor and analyze processor, DMA, firmware, and workload metrics * Optimize collective operations to scale AI compute across the data center * Work closely with the hardware team to co-optimize software and Trainium

Data Center Operations and Design Engineer IL - Northlake, 505 N Railroad Ave posted: Posted Yesterday

Photonics Test Product Manager (Quantifi Photonics, San Jose, CA) San Jose, CA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview Product Manager - Photonics Test Solutions We are looking for a Product Manager to identify and bring new photonics test instruments and solutions to market. The ideal candidate is a self-starter with a strong background in photonics test and measurement and has a broad network of industry contacts. Our industry is in a very exciting phase. Photonic IC technology is becoming mainstream, and the demand for bandwidth and higher speeds is insatiable due to the ever more dominant cloud technologies and the rise of artificial intelligence. Quantifi Photonics is ideally positioned to enable the cost-effective testing of these emerging technologies and is an industry leader for high volume testing in validation and manufacturing. The recent acquisition by Teradyne is a testament to its dominance in the industry and a gateway for further growth. Your main responsibilities will be to work closely with our customers and identify new products and soluti

2026 Area Manager Intern, Operations Sydney, New South Wales, AUS At Amazon, we're working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is seeking Area Manager Interns which is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. In this role you will be responsible for driving up the sortation & line haul infrastructure in the region which includes identifying the new routes. Key job responsibilities • Reviewing and understanding the transportation process from Fulfillment Centres to delivery stations • Measure and Ensure enough bandwidth in sortation team to ensure peak time delivery management • Assist and work alongside Area Managers to review performance appraisals of the station supervisors and learn on how to mentor them for handling efficient operations • Continuously improve the through put and attain a sustained level of delivery performance improvement • Review and assist on analysis of the data reports to identify performance bottlenecks and improve the performance • Research and review on the formal process control and process improvement mechanisms such as Kaizen The Internship Program We want to you to feel welcomed, included and valued right from the start. We know that your experiences will help us build a better world. So, if you are insatiably curious and always want to learn more, then you've come to the right place. You can expect to: • Define your goals,

Senior Systems Engineer Control Systems & Mechatronics, Amazon Robotics Munich, Bavaria, DEU Are you passionate about control theory and robotic actuators? Do you thrive on solving complex interdisciplinary control challenges that span mechanical, electrical, and software domains? Do you want to see your control algorithms and system designs enable robots that transform how millions of customers receive their orders? If yes, you'll fit right in here at Amazon Robotics. Amazon Robotics is seeking an Senior Interdisciplinary Systems Engineer with deep expertise in low-level control theory and actuator systems to lead the design and integration of control systems for complex robotic platforms. We are a smart team of doers that work passionately to apply cutting-edge advances in robotics, control systems, and mechatronics to solve real-world challenges that will transform our customers' experiences in ways we can't imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Key job responsibilities Design and analyze control systems for robotic actuators and manipulators, including impedance control, force control, and advanced motion control strategies Build mathematical models of actuator systems in MATLAB/Simulink to predict performance, conduct trade studies, and validate control approaches Develop control architecture and analyze system stability, bandwidth, and performance Design filters, observers, and signal processing algorithms to address real-world limitations such as sensor noise, bandwidth constraints, backlash, and actuator saturation Lead cross-functional design integration across mechanical (motors, gearboxes),